ARTIFICIAL INTELLIGENCE AS A TOOL FOR DIAGNOSTICS OF PERSONNEL COMPETENCES
ARTIFICIAL INTELLIGENCE AS A TOOL FOR DIAGNOSTICS OF PERSONNEL COMPETENCES

Author(s): Andrey Andrunik, Galina Ostapenko, Sergey Kosykyn
Subject(s): Social Sciences, Economy
Published by: Vysoká škola ekonomická v Praze
Keywords: artificial intelligence; 2S-systems; competences model
Summary/Abstract: Traditionally, quantitative and qualitative characteristics of human resources of enterprises are formalized in the form of structures, which reflect the ratios of these characteristics for different groups of employees. However, changes in the set and the nature of the competencies are currently one of the key aspects of change in the qualification structure of the personnel, especially when it comes to the development of innovative industrial personnel. The structuring of personnel characteristics allows developing a model of key competencies required for excellent innovative performance. In this paper, we consider the applicability of diagnostic indicators of personnel competencies in self-developing, self-organizing systems in order to solve the problems of candidates` optimal selection for a specific senior position in the innovative industrial companies. Software with the built-in procedure that combines the competence model, active examination, cluster analysis and logit modelling, specially created by the authors, allows to realize in practice the idea of creating artificial intelligence, applied to the problem of optimal candidates` selection from a finite set of alternatives. Traditionally, quantitative and qualitative characteristics of human resources of enterprises are formalized in the form of structures, which reflect the ratios of these characteristics for different groups of employees. However, changes in the set and the nature of the competencies are currently one of the key aspects of change in the qualification structure of the personnel, especially when it comes to the development of innovative industrial personnel. The structuring of personnel characteristics allows developing a model of key competencies required for excellent innovative performance. In this paper, we consider the applicability of diagnostic indicators of personnel competencies in self-developing, self-organizing systems in order to solve the problems of candidates` optimal selection for a specific senior position in the innovative industrial companies. Software with the built-in procedure that combines the competence model, active examination, cluster analysis and logit modelling, specially created by the authors, allows to realize in practice the idea of creating artificial intelligence, applied to the problem of optimal candidates` selection from a finite set of alternatives.

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